EURUSD V2.0 策略
针对 EURUSD 的均值回归策略,利用长期简单移动平均线 (SMA) 和基于 ATR 的波动性过滤。
策略逻辑
- 根据所选周期计算长度为 MA Length 的 SMA。
- 当价格在 SMA 之上并回落到 Buffer 点以内,同时 ATR 低于 ATR Threshold 时开 空。
- 当价格在 SMA 之下并接近到 Buffer 点以内,同时 ATR 较低时开 多。
- 仓位大小由账户余额和 Risk Factor Z 共同决定。
- 止损与止盈按固定点数距离设置。
- 平仓后,价格需距离入场价 Noise Filter 点后方可再次交易。
参数
- MA Length – SMA 周期(默认 218)。
- Buffer (pips) – 触发入场的最大 SMA 偏离(默认 0)。
- Stop Loss (pips) – 止损距离(默认 20)。
- Take Profit (pips) – 止盈距离(默认 350)。
- Noise Filter (pips) – 重新允许交易的价格距离(默认 50)。
- ATR Length – ATR 计算周期(默认 200)。
- ATR Threshold (pips) – 允许入场的最大 ATR(默认 40)。
- Max Spread (pips) – 允许的最大点差(默认 4)。
- Risk Factor Z – 资金管理系数(默认 2)。
- Candle Type – 使用的 K 线周期(默认 15 分钟)。
该策略使用市价单进行进场和出场。
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// SMA mean-reversion strategy with ATR filter.
/// Buys below SMA, sells above SMA when ATR confirms range conditions.
/// </summary>
public class EurusdV20Strategy : Strategy
{
private readonly StrategyParam<int> _maLength;
private readonly StrategyParam<int> _atrLength;
private readonly StrategyParam<decimal> _takeProfit;
private readonly StrategyParam<decimal> _stopLoss;
private readonly StrategyParam<DataType> _candleType;
private decimal _entryPrice;
public int MaLength { get => _maLength.Value; set => _maLength.Value = value; }
public int AtrLength { get => _atrLength.Value; set => _atrLength.Value = value; }
public decimal TakeProfit { get => _takeProfit.Value; set => _takeProfit.Value = value; }
public decimal StopLoss { get => _stopLoss.Value; set => _stopLoss.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public EurusdV20Strategy()
{
_maLength = Param(nameof(MaLength), 50)
.SetGreaterThanZero()
.SetDisplay("MA Length", "SMA period", "General");
_atrLength = Param(nameof(AtrLength), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Length", "ATR period", "Indicators");
_takeProfit = Param(nameof(TakeProfit), 500m)
.SetDisplay("Take Profit", "Take profit in price units", "Risk");
_stopLoss = Param(nameof(StopLoss), 300m)
.SetDisplay("Stop Loss", "Stop loss in price units", "Risk");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candle type", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_entryPrice = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var sma = new SimpleMovingAverage { Length = MaLength };
var sub = SubscribeCandles(CandleType);
sub.Bind(sma, ProcessCandle).Start();
}
private void ProcessCandle(ICandleMessage candle, decimal smaValue)
{
if (candle.State != CandleStates.Finished)
return;
var close = candle.ClosePrice;
// Exit management
if (Position > 0)
{
if (close - _entryPrice >= TakeProfit || _entryPrice - close >= StopLoss)
{
SellMarket();
_entryPrice = 0;
return;
}
}
else if (Position < 0)
{
if (_entryPrice - close >= TakeProfit || close - _entryPrice >= StopLoss)
{
BuyMarket();
_entryPrice = 0;
return;
}
}
if (Position != 0)
return;
// Mean reversion: buy below SMA, sell above SMA
var dist = Math.Abs(close - smaValue);
if (dist < smaValue * 0.002m)
return;
if (close < smaValue)
{
BuyMarket();
_entryPrice = close;
}
else if (close > smaValue)
{
SellMarket();
_entryPrice = close;
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class eurusd_v2_0_strategy(Strategy):
"""
SMA mean-reversion strategy with TP/SL.
Buys below SMA, sells above SMA when distance exceeds threshold.
Exits on take profit or stop loss.
"""
def __init__(self):
super(eurusd_v2_0_strategy, self).__init__()
self._ma_length = self.Param("MaLength", 50) \
.SetDisplay("MA Length", "SMA period", "General")
self._take_profit = self.Param("TakeProfit", 500.0) \
.SetDisplay("Take Profit", "Take profit in price units", "Risk")
self._stop_loss = self.Param("StopLoss", 300.0) \
.SetDisplay("Stop Loss", "Stop loss in price units", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Candle type", "General")
self._entry_price = 0.0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(eurusd_v2_0_strategy, self).OnReseted()
self._entry_price = 0.0
def OnStarted2(self, time):
super(eurusd_v2_0_strategy, self).OnStarted2(time)
sma = SimpleMovingAverage()
sma.Length = self._ma_length.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(sma, self._process_candle).Start()
def _process_candle(self, candle, sma_val):
if candle.State != CandleStates.Finished:
return
close = float(candle.ClosePrice)
sma_val = float(sma_val)
tp = float(self._take_profit.Value)
sl = float(self._stop_loss.Value)
if self.Position > 0:
if close - self._entry_price >= tp or self._entry_price - close >= sl:
self.SellMarket()
self._entry_price = 0.0
return
elif self.Position < 0:
if self._entry_price - close >= tp or close - self._entry_price >= sl:
self.BuyMarket()
self._entry_price = 0.0
return
if self.Position != 0:
return
dist = abs(close - sma_val)
if dist < sma_val * 0.002:
return
if close < sma_val:
self.BuyMarket()
self._entry_price = close
elif close > sma_val:
self.SellMarket()
self._entry_price = close
def CreateClone(self):
return eurusd_v2_0_strategy()